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  ---
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- license: apache-2.0
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- task_categories:
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- - text-generation
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  language:
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  - ru
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  - en
 
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  tags:
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  - not-for-all-audiences
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  - art
 
 
 
 
 
 
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  pretty_name: baneks
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  size_categories:
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  - 10K<n<100K
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
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  language:
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  - ru
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  - en
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+ license: apache-2.0
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  tags:
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  - not-for-all-audiences
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  - art
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+ - humour
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+ - jokes
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+ annotation_creators:
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+ - crowdsourced
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+ language_creators:
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+ - crowdsourced
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  pretty_name: baneks
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  size_categories:
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  - 10K<n<100K
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+ task_categories:
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+ - text-generation
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+ ---
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+
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+ # Dataset card for baneks
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+
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+ ## Table of contents
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+
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+ - [Dataset description](#dataset-description)
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+ - [Dataset summary](#dataset-summary)
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+ - [Dataset structure](#dataset-structure)
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+ - [Dataset instance](#dataset-instance)
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+ - [Dataset fields](#dataset-fields)
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+
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+ ## Dataset description
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+
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+ - **Homepage:** [baneks homepage]()
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+ - **Repository:** [baneks repository](https://huggingface.co/datasets/zeio/baneks)
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+ - **Point of contact:** [Zeio Nara](mailto:[email protected])
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+
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+ ### Dataset summary
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+
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+ This dataset contains anekdotes parsed from a few vk social network communities. Since the dataset is regularly updated, there is no fixed number of entries, so stay tuned.
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+
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+ ## Dataset structure
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+
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+ ### Data instance
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+
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+ An example of an entry from the dataset is given below:
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+
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+ ```json
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+ {
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+ "text": "- Папа, а кто такие алкоголики? - Ну, сынок.. Вот, видишь - четыре гендера стоят? А алкоголику кажется, что там восемь гендеров - Пап, там два гендера.",
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+ "published": "16-09-2023 01:38",
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+ "id": 497393,
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+ "n-likes": 13,
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+ "n-views": 804,
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+ "accessed": "16-09-2023 01:51",
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+ "source": "anekdotikategoriib"
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+ }
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+ ```
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+
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+ ### Data fields
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+
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+ Each dataset entry therefore consists of the following fields:
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+
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+ - `text` - text representation of the anecdote;
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+ - `published` - publication date of the corresponding post in the format `DD-MM-YYYY hh:mm`;
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+ - `id` - id of the corresponding post;
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+ - `n-likes` - number of likes received by the corresponding post up to the access date;
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+ - `n-views` - number of views received by the corresponding post up to the access date;
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+ - `accessed`- access date of the corresponding post in the format `DD-MM-YYYY hh:mm`;
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+ - `source` - community name in which the corresponding post has been published.